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Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

Leverage data analytics to reduce human space mission risks

Haden Land (Lockheed Martin IS&GS), Jason Loveland (Lockheed Martin)
11:20am–12:00pm Thursday, 10/01/2015
Hadoop Use Cases
Location: 1 E12/ 1 E13 Level: Intermediate
Average rating: ****.
(4.75, 4 ratings)
Slides:   1-PPTX 

Testing of all the systems involved with manned as well as unmanned human space missions is a serious endeavor. One of the major projects is the Orion Multi-Purpose Crew Vehicle, which is designed for long-duration, human-rated deep space exploration. Orion will transport humans to interplanetary destinations beyond low Earth orbit, such as asteroids, the moon, and eventually Mars, and return them safely back to Earth.

With human lives on the line, along with millions of dollars of highly technical equipment, testing of all the systems and subsystems for the Orion Space systems is long and exhaustive. Simulating the space environment on the ground and testing the system is a lengthy and expensive effort – requiring perfect results for each subsystem and its subsystems. These tests generate hundreds of megabytes per second of telemetry data that in very short time becomes petabytes of data that needs to managed, analyzed, and leveraged to validate healthy functioning of all the systems.

In simulating the real mission environment, test telemetry data is streamed to the testing system. This telemetry data contains mission-critical health information about equipment, and the test’s status. Knowing whether or not the test is progressing correctly can advise the test conductors to make decisions about the continuance or modification of a test scenario – a test that may take weeks to accomplish.

Our work with the Orion Space capsule takes this streaming test data and saves it to a Hadoop-based cluster supporting high data rate ingest. Advanced analytics can be run on the streaming data to check for expected or indeterminate patterns. This method of data analytics for system testing in an online environment opens up new opportunities for the test conductors to significantly reduce the risk of missing critical test parameters. It also creates a highly cost-effective and productive test environment.

Photo of Haden Land

Haden Land

Lockheed Martin IS&GS

Haden Land is vice president of research and technology for Lockheed Martin IS&GS, with 30 years of professional experience. He serves numerous U.S. government agencies, allied nations, and regulated commercial industries. Haden is responsible for technical solutions, strategic partnerships, global innovation centers, research and development, and emerging technology planning. His areas of expertise include cloud computing, big data, cyber security, enterprise mobility, complex adaptive systems, enterprise architecture, and advanced concepts. He has domain knowledge within government, space, energy, law enforcement, transportation, and healthcare.

Previously, Haden was vice president of solutions engineering for Lockheed Martin IS&GS, vice president of engineering and CTO for Lockheed Martin IS&GS Civil, and vice president of technical operations and CTO/CIO for Lockheed Martin Enterprise Solutions. In addition, Land has extensive technical experience performing in many chief architect and chief engineer roles, and has held a number of technical and engineering director positions. Previous employers include IBM and Loral.

Haden holds a bachelor’s degree in mathematics and computer science from Potsdam University and a master’s degree in computer science from Syracuse University. He serves on several academia/industry boards and is a recognized global speaker. He has been selected as one of the Top Hispanics in Business and Technology by numerous organizations; received the prestigious Global CIO Executive Top 10 Breakaway Leader award; received professional lifetime achievement awards; and is a recipient of two honorary doctorate degrees.

Photo of Jason Loveland

Jason Loveland

Lockheed Martin

Jason Loveland is a software architect at Lockheed Martin IS&GS, with 12 years of professional experience. Jason is responsible for leading research and development programs applying big data applications and advanced analytics for space systems and cyber security domains. He has expertise in enterprise architecture, software engineering, modeling and simulation, big data, and cloud solutions.

Jason holds a Bachelors in Computer Engineering from Villanova University. He also holds a Masters in Engineering from Old Dominion University.